EconPapers    
Economics at your fingertips  
 

Sentiment Analysis with Dynamics 365 Customer Insights

Maria Enache

Economics and Applied Informatics, 2022, issue 3, 69-73

Abstract: The world of sales is increasingly concerned with what customers feel, in relation to their brand or certain goods and services. Currently, special importance is given to the posts in social networks, to the feelings behind these posts. In this article I will analyze how the sentiment analysis behind some text fragments works, together with some applications. Sentiment analysis in 2022 is a constant concern for companies, marketers and people who work in sales, through its multiple forms it can be used, in recent years, to analyze a paragraph of text, to determine the feelings behind it. In order to perform this analysis, automatic learning and natural language processing are used as effective methods.

Keywords: business; process sentiment analysis; e-commerce (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://eia.feaa.ugal.ro/images/eia/2022_3/Enache.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2022:i:3:p:69-73

DOI: 10.35219/eai15840409289

Access Statistics for this article

More articles in Economics and Applied Informatics from "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Gianina Mihai ().

 
Page updated 2025-03-22
Handle: RePEc:ddj:fseeai:y:2022:i:3:p:69-73